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 Know active stock picking rarely produces winners
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tarix | 12.08.2018 | ölçüsü | 0,67 Mb. | | #62342 |
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Know active stock picking rarely produces winners - Efficient markets tells us information immediately is reflected in prices
If buy baskets/indices and dollar cost average can avoid market timing and active management costs Just an issue of portfolio mix Not that hard to learn or do own research - Are people that lazy? Or dumb?
- If so, why do so many high-income professionals in finance use advisors?
Procrastinate Procrastinate Have information but don’t act on it Self-control – cannot resist spending Sophisticated investors knows his/her limitations - Needs external controls / constraint
Traditional Traditional - Rational
- Fully informed
- Make Choices Consistent with Expected Utility
Bridge the gap between classical economics and psychology Bridge the gap between classical economics and psychology Individual behavior systematically show psychological patterns - Overconfidence
- Anchor too low/high and too slow to adjust
- Frame losses as worse than relative gains; Valued more highly if owned
- Chase Trends; Overwhelmed by choice
- Lack of self-control; Trade at wrong time; Emotional investing
Markets can still be rational when investors are individually irrational. - But that does not mean individuals don’t make major mistakes!
Study of men and women investment accounts - Study of men and women investment accounts
- All had negative returns after trading; men 2xs worse than women
- B/c males traded too much
Strategies decision makers use when faced with decisions, that involve uncertainty: Strategies decision makers use when faced with decisions, that involve uncertainty: 1. Representativeness - People tend to infer that a single observation is representative of the entire population
- Sample Size Neglect in Learning Distribution (6 Tosses vs. 1000 Tosses)
- Gambler’s Fallacy - Base Rates are Under-Emphasized Relative to Evidence
- Judgment based on similarity. “Patterns in random sequences”.
2. Saliency or Availability: “familiarity breeds investment”. - People tend to over-estimate probabilities of a low frequency event if they have recently heard such an event has occurred
3. Prospect Theory - Investors more risk-adverse in domain of losses than gains
Proposed by two psychologists: Daniel Kahneman (won Nobel for Economics 2002) and Amos Tversky Proposed by two psychologists: Daniel Kahneman (won Nobel for Economics 2002) and Amos Tversky Gambles are evaluated relative to a reference point. - Decision maker analyzes “gains” and “losses” differently.
- Anchoring
- Initial Arbitrary Value and Make Adjustments
Incremental value of a loss is larger than that of a loss. - “the hurt of a $1000 loss is more painful than the benefit of a $1000 gain”.
Have $300 (“Initial endowment”). Have $300 (“Initial endowment”). Consider a choice between: - a sure gain of $100
- a 50% chance to gain $200, a 50% chance to gain $0.
Have $500. Consider a choice between: - a sure loss of $100
- a 50% chance to lose $200, a 50% chance to lose $0.
Case 1: 72% chose option 1, 28% chose option 2. - Framed as a gain: decision maker is risk averse.
Case 2: 36% chose option 1, 64% chose option 2. - Framed as a loss: decision maker is risk seeking.
Regret Aversion Regret Aversion - anticipation of a future regret can influence current decision.
Disposition Effect - Hold losers too long and sell winners too early
- Status Quo effect – inertia
- Endowment effect – value owned item more
Belief Perseverance - Different search & treatment of contradictory information
Mental Accounting Self-attribution bias - Successes due to talent but failure due to bad luck
Herding: may select stocks that other investors select to avoid “falling behind” Herding: may select stocks that other investors select to avoid “falling behind” - Socionomics: People are influenced by each other.
- Herding behavior: “safety-in-numbers”
- Subjective, unconscious, pre-rational impulses
- Rationalize mood-induced moves
- ‘Wise’ crowds become foolish – especially as become more uniform
Informational Cascades & Positive Feedback - Example: excessive demand for internet IPOs.
- Extremely high opening day returns.
- Hindsight Bias
- “of course Google was a good buy in 2002”
Visceral – anger, jealousy, etc Visceral – anger, jealousy, etc Mild mood or affect - Positive – negative
- Anxious
- Hopeful
Change self regulation and use of information - Related to market returns?
We are boundedly rational We are boundedly rational - Not out to maximize every decision
- “Good enough” not the “best” or optimal
People are ok with doing average - Not out to always beat the average
- Works in favor or many investment strategies
When faced with a complex or difficult decisions tend to use two simple heuristics - Keep things as they are (via inertia) OR
- Put the decision off (via procrastination)
Spend / consume too much now Fail to save for future - Even though you know “future you” wants to “present you” save – “present you” fails to do it
- “hyperbolic discounting” rate – not consistent over time/selves
- sophisticate: someone who understands his irrationality and builds systems to cope with it
- Automatic deposit
- Penalty for withdrawal
- Save More Tomorrow (use mental accounting to advantage)
- Agree this year to save next year
- Agree to save portions of future raises
- Why do people get $3000 tax refunds?
Paying employees to save: Paying employees to save: - matches don’t work very well
Educating investors: - financial education (alone) doesn’t work
- Has some effects but not enough
- A complement to other efforts
Markets down Markets down - Fear leads to selling at worst time
- Start to question strategies
- Buy and hold
- Dollar cost indexing
- Index funds
- Having an external constraint helps
- Stick to the plan
- Make decisions public
- Key role of investment advisor
Trusted advisor - Issues maybe very simple; not technical
Financial therapy - People want to tell their story
Self Control and discipline - Keeping promises and reaching goals
Coaching - Self-actuated goals & performance improvement
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